metered-realtime 1.0.0

Async Python SDK for the Metered Realtime Messaging service — WebSocket pub/sub + WebRTC (aiortc).

metered-realtime

Async Python SDK for the Metered Realtime Messaging service. The Python counterpart to the JavaScript SDK — a Python peer can share a room with browser peers.

Built for server-side and edge use cases the browser can't reach: AI voice agents that join a room to run STT→LLM→TTS, IoT camera/telemetry bridges, recording bots, and headless automation.

Building with AI? Point Claude Code, Cursor, or Copilot at the SDK reference file — llms-realtime-messaging-python-sdk.txt — and describe what you want to build. More prompts: Build with AI.

Install

pip install metered-realtime             # pub/sub only (SignallingClient)
pip install "metered-realtime[webrtc]"   # + the WebRTC peer layer (MeteredPeer)

Requires Python 3.10+.

Quick start — rooms with WebRTC (MeteredPeer)

import asyncio
from metered_realtime import MeteredPeer, PeerJoined, Data, Track

async def main() -> None:
    async with MeteredPeer(api_key="pk_live_...") as peer:
        @peer.on(PeerJoined)
        def _(ev: PeerJoined) -> None:
            print("peer joined:", ev.peer.id)

            @ev.peer.on(Track)
            def _(t: Track) -> None:
                print("receiving", t.track.kind, "stream:", [s.id for s in t.streams])

        @peer.on(Data)
        def _(ev: Data) -> None:
            print(ev.sender_peer_id, "says", ev.data)

        await peer.join("room-42")
        await peer.send({"hello": True})          # broadcast to the room
        # Attach media to every peer (current + future). add_track takes a track;
        # add_stream takes a MediaStream grouping. Any aiortc track works, e.g.:
        #     from aiortc.contrib.media import MediaPlayer
        #     peer.add_track(MediaPlayer("clip.mp3").audio)
        await asyncio.sleep(30)

asyncio.run(main())

Quick start — pub/sub only (SignallingClient)

import asyncio
from metered_realtime import SignallingClient, Message

async def main() -> None:
    async with SignallingClient(api_key="pk_live_...") as client:
        @client.on(Message)
        def _(ev: Message) -> None:
            print(ev.sender_peer_id, ev.data)

        await client.subscribe("room-42")
        await client.publish("room-42", {"hello": True})
        await asyncio.sleep(5)

asyncio.run(main())

Media input

Pass any aiortc-compatible track to add_track, or use the built-in helpers (metered-realtime[webrtc]):

from metered_realtime import AudioSource, from_file, from_rtsp, iter_frames

# Push synthesized audio (e.g. an AI agent's speech) into the room:
source = AudioSource(input_rate=16_000)        # 16 kHz mono PCM in
peer.add_track(source)
await source.push(pcm_bytes)                    # emitted as real-time 48 kHz audio
source.end()

# Or feed from a file / IP camera (.audio / .video is None if the source lacks it):
peer.add_track(from_file("clip.mp4").audio)
peer.add_track(from_rtsp("rtsp://cam:554/stream").video)

# Consume a peer's incoming media (e.g. for speech-to-text):
async for frame in iter_frames(track):          # ends cleanly when the track stops
    ...

from_camera / from_microphone / screen_share capture from local devices (platform-dependent). See the documentation for auth (publishable keys vs. token providers), presence, direct messages, media, and data channels.

Provisional: the media-input helpers (AudioSource, iter_frames, from_file / from_rtsp / from_camera / from_microphone / screen_share) may change in a minor release. The core media API on MeteredPeer — add_stream / add_track / replace_track, and MediaStream — is stable.

Documentation

Full Python SDK docs: metered.ca/docs/realtime-messaging/sdk-python

• Getting started — install, auth, your first peer
• API reference — MeteredPeer, RemotePeer, DataChannel, media, every event/error/code
• Guides — authentication, reconnect best-practices, AI agent communication, IoT telemetry
• Errors & codes — close codes, exception types, how to react

Examples

Runnable end-to-end demos, each walked through in the examples docs (each takes METERED_KEY=pk_live_…):

• data_channel_echo.py — open a peer-to-peer data channel and echo messages.
• audio_agent.py — stream synthesized audio into a room and consume a peer's audio (the "agent in the call" shape).

License

MIT — see LICENSE.